<h4>Tool</h4><table border="0"><tr><td valign="top"><b>Name</b></td><td valign="top">Multiple Linear Regression Analysis (Shapes)</td></tr><tr><td valign="top"><b>ID</b></td><td valign="top">13</td></tr><tr><td valign="top"><b>Author</b></td><td valign="top">O.Conrad (c) 2012</td></tr></table><hr><h4>Description</h4>Multiple linear regression analysis using ordinary least squares.<hr><h4>Parameters</h4><table border="1" width="100%" valign="top" cellpadding="5" rules="all"><tr><th>Name</th><th>Type</th><th>Identifier</th><th>Description</th><th>Constraints</th></tr>
<tr><th colspan="5">Input</th></tr><tr><td>Shapes </td><td>Shapes (input)</td><td>TABLE</td><td></td><td></td></tr><tr><th colspan="5">Output</th></tr><tr><td>Results (*)</td><td>Shapes (optional output)</td><td>RESULTS</td><td></td><td></td></tr><tr><td>Details: Coefficients (*)</td><td>Table (optional output)</td><td>INFO_COEFF</td><td></td><td></td></tr><tr><td>Details: Model (*)</td><td>Table (optional output)</td><td>INFO_MODEL</td><td></td><td></td></tr><tr><td>Details: Steps (*)</td><td>Table (optional output)</td><td>INFO_STEPS</td><td></td><td></td></tr><tr><th colspan="5">Options</th></tr><tr><td>Dependent Variable</td><td>Table field</td><td>DEPENDENT</td><td></td><td></td></tr><tr><td>Predictors</td><td>Parameters</td><td>PREDICTORS</td><td></td><td>0 Parameters:
</td></tr><tr><td>Method</td><td>Choice</td><td>METHOD</td><td></td><td>Available Choices:
[0] include all
[1] forward
[2] backward
[3] stepwise
Default: 3</td></tr><tr><td>Significance Level</td><td>Floating point</td><td>P_VALUE</td><td>Significance level (aka p-value) as threshold for automated predictor selection, given as percentage</td><td>Minimum: 0.000000
Maximum: 100.000000
Default: 5.000000</td></tr><tr><td>Cross Validation</td><td>Choice</td><td>CROSSVAL</td><td></td><td>Available Choices:
[0] none
[1] leave one out
[2] 2-fold
[3] k-fold
Default: 0</td></tr><tr><td>Cross Validation Subsamples</td><td>Integer</td><td>CROSSVAL_K</td><td>number of subsamples for k-fold cross validation</td><td>Minimum: 2
Default: 10</td></tr></table>(*) <i>optional</i>